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ORCID2nd MaLTeSQuE 2018: Campobasso, Italy
- Francesca Arcelli Fontana, Bartosz Walter, Apostolos Ampatzoglou, Fabio Palomba:
2018 IEEE Workshop on Machine Learning Techniques for Software Quality Evaluation, MaLTeSQuE@SANER 2018, Campobasso, Italy, March 20, 2018. IEEE Computer Society 2018, ISBN 978-1-5386-5920-5
Defects and Anomalies
- Salvatore Geremia, Damian A. Tamburri
:
Varying defect prediction approaches during project evolution: A preliminary investigation. 1-6 - Dario Di Nucci, Andrea De Lucia:
The role of meta-learners in the adaptive selection of classifiers. 7-12 - Fabian Huch, Mojdeh Golagha, Ana Petrovska, Alexander Krauss:
Machine learning-based run-time anomaly detection in software systems: An industrial evaluation. 13-18
Change Analysis and Testing
- Giovanni Grano, Timofey V. Titov, Sebastiano Panichella, Harald C. Gall:
How high will it be? Using machine learning models to predict branch coverage in automated testing. 19-24 - Gemma Catolino, Filomena Ferrucci:
Ensemble techniques for software change prediction: A preliminary investigation. 25-30 - László Vidács, Martin Pinzger:
Co-evolution analysis of production and test code by learning association rules of changes. 31-36
User-Oriented Machine Learning for Software Quality Assessment
- Yuanliang Zhang, Shanshan Li, Xiangyang Xu, Xiangke Liao, Shazhou Yang, Yun Xiong:
ConfigFile++: Automatic comment enhancement for misconfiguration prevention. 37-42 - Luca Pascarella, Achyudh Ram, Azqa Nadeem, Dinesh Bisesser, Norman Knyazev, Alberto Bacchelli:
Investigating type declaration mismatches in Python. 43-48 - Michail Papamichail, Themistoklis G. Diamantopoulos, Ilias Chrysovergis, Philippos Samlidis, Andreas L. Symeonidis:
User-perceived reusability estimation based on analysis of software repositories. 49-54
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